ApplySarthiSr. Product Manager, Lakebase/Lakehouse
Databricks
Databricks is also hiring for this role in Seattle, Washington.
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This role on the market
12 open lakehouse roles across 9 companies are on ApplySarthi right now, most of them in Hyderabad (1), Bengaluru (1).
- Data Engineer - Enterprise Data Lakehouse & Data Products3M · bengaluru
- Product Manager , Growth and Strategy - Oracle AI LakehouseOracle
- Senior Cybersecurity Data Engineer - Data Platform & Lakehouse SMEWorkday
- Senior Software Engineer, Backend (Lakehouse Infra) Affirm
- Senior Data Lakehouse Architect (Databricks), Vice PresidentStatestreet
What lakehouse roles keep asking for: Databricks (67%), Python (67%), AWS (50%), SQL (50%), Snowflake (50%), Data warehousing (42%), Product management (42%), Spark (42%) — counted across their open postings here.
Product Manager jobs in the United States · Product Manager jobs in San Francisco · Remote Product Manager jobs · Data warehousing jobs · Databricks jobs · Excel jobs · Product management jobs
Databricks has 902 open roles listed here.
- Enterprise Account Executive
- Forward Deployed Engineer
- Lakebase Sales Specialist, Nordics
- Strategic Account Executive, Medtech
- Team Lead - Platform Monitoring Engineerbengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for lakehouse roles keep coming back to Databricks, Python, AWS, SQL. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- How do you decide what goes into the next release and what waits?
- Walk me through a feature you shipped. How did you know it worked?
- Tell me about a time engineering and business wanted different things.
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Practise the Sr. Product Manager, Lakebase/Lakehouse at Databricks interview free →RDQ427R586
At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Lakehouse and Lakebase products are at the forefront of enabling customers to get more value from their data. Read this seminal blog from Databricks co-founders on What is a Lakehouse and A New Era of Databases: Lakebase.
We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder.
Why Join Us?
- Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
- Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
- Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
- Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.
The impact you will have:
- Own and define the product vision, strategy, and roadmap for Databricks SQL
- Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
- Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
- Drive competitive differentiation and positioning in the cloud data warehouse market.
- Collaborate with leadership to align product initiatives with business goals.
- Use data-driven insights to measure success, iterate, and improve user experience.
What we look for:
- 5+ years of product management experience (preferably in cloud, analytics, or data platforms).
- Ability to break down complex problems into simple, scalable solutions.
- Strong sense of ownership—you thrive in ambiguity and love solving hard problems
- Experience working with engineers and designers to ship high-impact products.
- Exceptional communication and storytelling skills to inspire teams and stakeholders.
- It is not necessary but good to have understanding of Databases, SQL, data warehousing, BI, and analytics use cases.
Ready to Build the Future?
If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Listed on greenhouse · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Databricks, not by us.